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DNA methylation as a therapeutic target in RB1 deficient and neuroendocrine prostate cancer and rational co-targeting with B7-H3

GSE216054 Homo sapiens (human) DNA methylation 31 samples Submitted 2024/03/27 Platform GPL24676Platform GPL16791Platform GPL20301
At a glance

DNA methylation · human · 31 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Topic
Prostate cancerThis series is part of our curated briefing on it.
Samples
31 samples: 8 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Targeting DNA methylation and B7-H3 in RB1-deficient and neuroendocrine prostate cancerScience translational medicine · 2023
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Targeting DNA methylation and B7-H3 in RB1-deficient and neuroendocrine prostate cancer
Yamada Y, Venkadakrishnan VB, Mizuno K et al. · Science translational medicine 2023 · PMID 37967200 · doi:10.1126/scitranslmed.adf6732
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE216054_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA891770 and SRA study SRP403293. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
PM154, Control, ×6 PM154, DNMT1 knockout, ×3 PM154, DNMT3A knockout, ×3 PM154, decitaine treated, ×3 22Rv1, WT ×3 22Rv1, RB1 knockout ×3 22Rv1, Control, ×2 22Rv1, CD276 knockout, ×2 +6 more

Supports a case/control comparison: 16 samples read as cases, 15 as controls.

How we read this: 8 replicated groups read from 31 sample titles; they account for 25 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.